Goal of the analysis

Analyzing qPCR data. Using Cq values from quantstudio application. Convert to absolute quantification using standard curves

## [1] "Using Standard curve : Std30"

Cq Plots

Copies plot

Melting temp

Tm1

Largest melting temperature peak

All Tm peaks

All peaks of melting temperature

Data output

Mean data
Target_name assay_var.label mean_Copies.per.ul.template Sample_category
16s MG1655 3.65e+07 negative
16s MJD61 4.84e+07 Maximal
16s MJD61 2.56e+07 Repressed
16s 80a 5.41e+07 Maximal
16s 80a 3.95e+07 Repressed
16s NTC 1.35e+04 negative
16s AOS107 8.16e+06 Maximal
16s AOS109 1.62e+07 Maximal
U64 MG1655 NaN negative
U64 MJD61 5.30e+00 Maximal
U64 MJD61 NaN Repressed
U64 80a 6.44e+01 Maximal
U64 80a 1.26e-02 Repressed
U64 NTC NaN negative
U64 AOS107 1.23e+00 Maximal
U64 AOS109 8.94e-03 Maximal
gfpbarcode MG1655 1.18e-01 negative
gfpbarcode MJD61 2.45e+05 Maximal
gfpbarcode MJD61 2.35e+03 Repressed
gfpbarcode 80a 2.00e+05 Maximal
gfpbarcode 80a 1.11e+03 Repressed
gfpbarcode NTC 3.15e+01 negative
gfpbarcode AOS107 6.40e+04 Maximal
gfpbarcode AOS109 5.06e+04 Maximal

Vertically oriented plots

for legacy use if someone prefers these. labels are not very readable

## Warning: Removed 11 rows containing missing values (`geom_point()`).

## Warning: Removed 7 rows containing non-finite values (`stat_boxplot()`).
## Removed 11 rows containing missing values (`geom_point()`).

## Warning: Removed 7 rows containing non-finite values (`stat_boxplot()`).
## Removed 11 rows containing missing values (`geom_point()`).